The Market for Electric Vehicles: Indirect Network Effects and Policy Design

Li, Shanjun; Tong, Lang; Xing, Jing Tang; Zhou, Yiyi

doi:10.1086/689702

Cited by 175 publications

(161 citation statements)

References 28 publications

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“…They do note that the direction of this correlation is difficult to determine as charging stations are also build in response to local EV demand. Li et al (2017) try to address this problem by modelling network effects in the sales of EVs in 353 metropolitan areas in the United States. Taking these effects into account they still find that investing in charging infrastructure is twice as effective as direct financial incentives.…”

Section: Ev Purchase Intentions and Charging Infrastructurementioning

confidence: 99%

Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments

Wolbertus

Kroesen

Hoed

et al. 2018

Transportation Research Part D: Transport and Environment

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Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experimentsWolbertus, Rick; Kroesen, Maarten; van den Hoed, Robert; Chorus, Caspar G. AbstractPolicy makers are looking for effective ways to promote the adoption of electric vehicles (EVs). Among the options is the roll-out and management of charging infrastructure to meet the EV drivers' refuelling needs. However, policies in this area do not only have a long-term effect on the adoption of EVs among prospective owners, they also have short-term impacts on the usage of public charging infrastructure among current EV owners and vice-versa. Presently, studies focusing on both effects simultaneously are lacking, missing out on possible cross-pollination between these areas. This study uniquely combines stated and revealed preference data to estimate the effect of particular policy measures aimed at EV adoption, on the one hand, and charging behaviour, on the other. Using a large dataset (1.7 million charging sessions) related to charging behaviour using public charging infrastructure in the Netherlands we quantify the effects of (i) daytime-parking (to manage parking pressure) and (ii) free parking (to promote purchase of EVs) policies on charging behaviour. To estimate the effects of these particular policies on EV purchase intentions, a stated choice experiment was conducted among potential EV-buyers. Results show that cross-pollinations between EV charging and adaptation policies exist and should be taken into account when designing policies for EV adoption.©2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. https://creativecommons.org/licenses/by-nc-nd/4.0/

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Section: Ev Purchase Intentions and Charging Infrastructurementioning

confidence: 99%

Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments

Wolbertus

Kroesen

Hoed

et al. 2018

Transportation Research Part D: Transport and Environment

View full text Add to dashboard Cite

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“…The results of panel data analysis in Table 5 exhibit a positive relationship (p-value of 0.245) between Slow EVSE and EV market share; meanwhile, there exists a negative relationship (p-value of 0.005) between Fast EVSE and EV deployment. This is interesting because EVSE infrastructureregardless of the type-is considered as an important factor for EV adoption in many existing studies [3,15,28]. On the other hand, some researchers have a negative view of the impact of the EVSE on EV simply by deducting all kinds of incentives from the original retail price.…”

Section: Evsementioning

confidence: 99%

“…They invest a huge amount of funds in research and development in order to benefit from the effect of mitigating the stringency in terms of corporate average fuel economy by selling those products in the market. Nevertheless, there is an issue that the electrification through the diffusion of EVs collaborating with the generation of cleaner electricity is regarded as a promising pathway to mitigate air pollution from on-road vehicles and energy dependency [3]. with its EV Leaf in making efforts to better commercialize from 2005.…”

Section: Introductionmentioning

confidence: 99%

Does Driving Range of Electric Vehicles Influence Electric Vehicle Adoption?

Kim

Lee²,

Lee

2017

Sustainability

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Abstract:This study aims to determine the influential factors on the market share of electric vehicles through panel data analysis based on time series data from 2011 to 2015 in 31 countries. We selected five significant independent variables that are expected to affect electric vehicle adoption based on literature review. The econometric model in this study suggests that the relative price of electric vehicle compared to internal combustion engine vehicle, driving range, and number of models available in markets are correlated to the market share of electric vehicles. On the other hand, relationship between recharging infrastructure-an important factor for electric vehicle adoption in many studies-and market share of electric vehicles turned out to be insignificant in this study. From a political point of view, we argue that policy makers need to allocate more resources to research and development in order to extend driving range at the early stage of electric vehicle deployment in the markets.

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“…Vehicles remain a critical source of air pollutants which affect not only the global climate but also local health outcomes (Knittel, Miller, and Sanders ). Policymakers around the world have sought to manage the emissions of vehicle fleets within their jurisdictions through a number of initiatives such as fuel economy standards (Anderson et al ; Berry, Kortum, and Pakes ; Portney et al ; West and Williams ) or subsidies for the purchase of electric vehicles (Li et al ; Seo and Shapiro ). Broadly construed, our results speak to the need to consider both heterogeneity across vehicles and the dynamic behavior of consumers in order to capture the full effect of these programs on primary and secondary vehicle markets.…”

Section: Resultsmentioning

confidence: 99%

Environmentalism, Stimulus, and Inequality Reduction Through Industrial Policy: Did Cash for Clunkers Achieve the Trifecta?

2020

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The 2009 American Cash for Clunkers program, which subsidized consumers who scrapped old vehicles and purchased new vehicles, was promoted by appealing to multiple constituencies. We evaluate the policy and alternatives according to its stated goals: emissions reductions, economic stimulus, and reducing inequality. We calibrate a dynamic partial equilibrium portfolio model to match consumer expenditure data from 1998 to 2011 focusing on heterogeneity across cars and trucks. We find the program generated $0.17 in environmental benefits, $0.28 in consumer surplus, and $0.31 in net discounted additional spending per subsidy dollar. Since subsidies largely went to middle-income infra-marginal consumers, the program exacerbated consumption inequality. We evaluate alternative policy designs and find no policy which simultaneously improves all outcomes. (JEL H23, L52, L92, D63)[Cash for Clunkers] holds the promise of performing a remarkable public policy trifecta -stimulating the economy, improving the environment, and reducing income inequality all at the same time. (Blinder 2008)

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The Market for Electric Vehicles: Indirect Network Effects and Policy Design

Cited by 175 publications

References 28 publications

Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments

Policy effects on charging behaviour of electric vehicle owners and on purchase intentions of prospective owners: Natural and stated choice experiments

Does Driving Range of Electric Vehicles Influence Electric Vehicle Adoption?

Environmentalism, Stimulus, and Inequality Reduction Through Industrial Policy: Did Cash for Clunkers Achieve the Trifecta?

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